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Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes.

Surya S Prakash1, Aritra Das1, Sidrat Tasawoor Kanth1,2

  • 1Centre for Neuroscience, Indian Institute of Science, Bangalore 560012, India.

Cerebral Cortex (New York, N.Y. : 1991)
|April 18, 2021
PubMed
Summary
This summary is machine-generated.

Local field potentials (LFPs) and spikes in the visual cortex reflect attention. Neutral cueing showed intermediate LFP modulation, suggesting LFPs precisely represent graded attention states.

Keywords:
gammahigh-gammalinear discriminant analysispopulation codingspatial attention

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Visual Attention

Background:

  • Local field potentials (LFPs) and spikes in the visual cortex are modulated by attention.
  • Human studies use neutral cueing, but its effect on LFPs is unknown.
  • Previous research suggests spikes may outperform LFPs with multi-electrode recordings.

Purpose of the Study:

  • To investigate if LFPs can represent graded states of attention.
  • To compare the discriminability of attention using LFPs versus spikes.
  • To determine the spatial scale of attention's influence.

Main Methods:

  • Recorded LFPs and spikes in rhesus monkeys under cued, uncued, and neutral attention conditions.
  • Analyzed high-frequency LFP power (>30 Hz) and spike activity.
  • Computed attention discriminability using single and multiple electrodes.

Main Results:

  • LFPs during neutral cueing showed intermediate modulation between cued and uncued conditions.
  • High-frequency LFP power was more discriminative of attention than spikes using a single electrode.
  • Spikes did not outperform LFPs even with multiple electrodes, despite LFP correlation.

Conclusions:

  • LFPs are precise enough to represent graded states of attention.
  • LFPs offer a robust signal for studying attention, even with multi-electrode setups.
  • Findings provide insights into the spatial scale of attention and LFP utility.